Course Outline


Overview of DeepMind Lab Features and Architecture

Understanding Navigation, Memory, and Exploration in DeepMind Lab

Building and Running DeepMind Lab

Customizing DeepMind Lab

Using the Programmatic Level-Creation Interface

Exploring Python Dependencies

Getting Started on Linux

Using the 3D Simulation Environment

Learning About Observations and Actions

Using Human Input Controls

Implementing and Training a Learning Agent

Working with Upstream Sources

Working with External Dependencies, Prerequisites, and Porting Notes

Exploring DeepMind Lab Real-World Impact and Breakthroughs


Summary and Conclusion


  • Experience with Python or other programming languages
  • Knowledge of artificial intelligence and machine learning concepts


  • Researchers
  • Developers
  14 Hours

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